As a scientist I like to delve into machine learning and AI techniques to find solutions to the problem at hand. In doing so, I aim to deeply understand the application domain as it is essential for the successful use of machine learning. As a (scientific) software developer I find it rewarding to translate ideas and solutions into software.
- TNO 2017 - Present
Designing and developing machine learning solutions to applied research projects, mainly in industry, energy and geoscience domains. Other tasks include programming, data processing, visualization and reporting.
- Utrecht University 2013 - 2017
Researcher in geomodelling, mainly on combining different modelling techniques.
- Arcadis / NCIM Groep 2012 - 2013
Software engineer at Arcadis outsourced by NCIM Group. JAVA software development for engineering software.
- University of Amsterdam 2011 - 2012
Scientific Programmer. Based on my thesis in A.I. I was temporarily hired as a scientific programmer to implement results from my thesis.